Color Management for Digital Video : Color Correction in the Editing Phase

In this paper we describe the preliminary results of a collaborative research project conducted by researchers at Gjøvik University College and Lillehammer University College. The goal of the project is to develop methods and tools to improve the control of color information in the production and presentation of digital video. The project represents a unique attempt to bring together two scientific communities — graphic arts and television/video production — on a theme of common interest, namely color. Promising results have been obtained by using an innovative color warping algorithm for color correction in editing of digital video.

[1]  Graham D. Finlayson,et al.  Unifying Color Constancy , 2001, Journal of Imaging Science and Technology.

[2]  Graham D. Finlayson,et al.  Color by Correlation , 1997, CIC.

[3]  Jon Y. Hardeberg,et al.  Desktop scanning to sRGB , 1999, Electronic Imaging.

[4]  Youngshin Kwak,et al.  Accurate Prediction of Colours on Liquid Crystal Displays , 2001, Color Imaging Conference.

[5]  Hiroaki Kotera,et al.  Novel color transformation algorithm and its applications , 1990, Other Conferences.

[6]  Henry R. Kang.  Color Technology for Electronic Imaging Devices , 1997 .

[7]  Jon Y. Hardeberg,et al.  Characterisation of LCD and DLP Projection Displays , 2002, Color Imaging Conference.

[8]  Andreas Kraushaar,et al.  ICC Color Management Within the Motion Picture Industry , 2002, Color Imaging Conference.

[9]  Nira Dyn,et al.  Image Warping by Radial Basis Functions: Application to Facial Expressions , 1994, CVGIP Graph. Model. Image Process..

[10]  G. Buchsbaum.  A spatial processor model for object colour perception , 1980 .

[11]  Raja Bala.  Color Transformations for Printer Color Correction , 1994, Color Imaging Conference.

[12]  Luiz Velho,et al.  Warping and morphing of graphical objects , 1998 .

[13]  Reiner Lenz,et al.  Digital Camera Color Calibration and Characterisation , 1996, Color Imaging Conference.

[14]  Ján Morovic,et al.  Characterising Desktop Colour Printers Without Full Control Over All Colorants , 1996, Color Imaging Conference.

[15]  Brian V. Funt,et al.  Committee-Based Color Constancy , 1999, CIC.

[16]  Franz Herbert,et al.  Achieving Color Match between Scanner, Monitor, and Film: A Color Management Implementation for Feature Animation , 1999 .

[17]  Jon Y. Hardeberg,et al.  Color Printer Characterization Using a Computational Geometry Approach , 1997, CIC.

[18]  Michael H. Brill,et al.  Colour Engineering: Achieving Device Independent Colour , 2004 .

[19]  Mark E. Gorzynski,et al.  CRT colorimetry. part I: Theory and practice , 1993 .

[20]  Heinrich Müller,et al.  Image warping with scattered data interpolation , 1995, IEEE Computer Graphics and Applications.

[21]  Raja Bala,et al.  Refinement of printer transformations using weighted regression , 1996, Electronic Imaging.

[22]  Michael R. Macedonia,et al.  The End of Celluloid: Digital Cinema Emerges , 2002, Computer.

[23]  Roderick T. Ryan.  Color in the Motion-Picture Industry , 1976 .

[24]  Po-Chieh Hung,et al.  Colorimetric calibration in electronic imaging devices using a look-up-table model and interpolations , 1993, J. Electronic Imaging.

[25]  Abhay Sharma,et al.  Evaluating the quality of commercial ICC color management software , 2002 .

[26]  Robert Ross,et al.  An engineering approach to consistent images : Control of video and film image quality in TV production , 1996 .

[27]  Edward J. Giorgianni,et al.  Digital Color Management: Encoding Solutions , 1998 .